Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 181 - 190 of 304
Study Type: Causal Impact Analysis
The study’s objective was to assess the effectiveness of Washington State WorkSource job search services. WorkSource services included staff-assisted job matching, provision of labor market…Study Type: Causal Impact Analysis
The study examined the impact of the Nevada Reemployment and Eligibility Assessment (REA) program on long-term employment, earnings, and Unemployment Insurance (UI) benefit receipt. This study was a…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Illinois, a program that provided eligibility and reemployment case…Study Type: Descriptive Analysis
The article provided an overview of experimental evaluations of unemployment insurance (UI) reforms conducted from 1977 to 1992 in the United States. These reforms typically tried to improve the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact Job Assistance Centers (JACs) and the Transition Assistance Program (TAP) offered to ex-servicemembers had on their earnings and public benefits…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of paid work experience, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, and public benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of on-the-job training, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education, training, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a paid work experience program, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Reintegration of Ex-Offenders (RExO) programs on employment, earnings, public benefits receipt, and recidivism outcomes. The study was a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Milwaukee Safe Street Prisoner Release Initiative on employment, earnings, public benefit receipt, and recidivism. Drawing on administrative…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.